Ethical Considerations with Healthcare AI Post-doctoral Fellowship

The Anesthesia Department at Stanford Healthcare is recruiting a 2-year fellow for analyzing the ethical and regulatory challenges in evaluating artificial intelligence and machine learning (AI/ML) tools before they are deployed at Stanford Healthcare. The post-doctoral fellow will work closely with Drs. Danton Char, Nigam Shah, and Michelle Mello to both evaluate proposed AI/ML deployments into clinical care and to develop an approach for rapid systematic evaluation of AI/ML tools for ethical considerations. In addition, the postdoctoral fellow will conduct research on ethical and regulatory implications arising from the use of AI/ML in clinical healthcare. 

This post-doctoral fellowship position is jointly set up between the Stanford Departments of Anesthesia and Medicine (Biomedical Informatics). Candidates from underrepresented groups are strongly encouraged to apply. The successful candidate will have the opportunity to interact with colleagues and faculty at the Stanford Center for Biomedical Informatics Research, the Center for Artificial Intelligence in Imaging and Medicine as well as the Institute for Human-Centered Artificial Intelligence. Given the emerging nature of research at the intersection of ethics, AI, and healthcare, we are interested to hear from recent Ph.D. candidates but also encourage recent undergraduates, masters graduates, law graduates, and medical students interested in research years, to apply.

To Apply, please email Elisabeth Grosvenor ([email protected]) the following:

1. 3 letters of recommendation
2. CV